Purpose: Recently, respiratory-calibrated MRI methods capable of providing a non-invasive, quantitative assessment of cerebral physiology have been developed. Although differing slightly in detail, the aim of these methods is the same: to calibrate the MRI signal using a combination of hyperoxic and hypercapnic gas stimuli, and thereby allow quantification of brain energy metabolism and perfusi...

Lack of observed data for model calibration hinders the application hydrological models in many poorly-gauged catchments, particularly humid tropical region. Despite much less attention given, it is vital to assess transferability calibrated parameters order apply such catchments assist their water resources planning and management activities. Thus, this study investigated temporal a lumped con...

Due to the presence of boulders and different morphologies, mountain rivers contain various resistance sources. To correctly simulate river flow using 1-D hydrodynamic models, an accurate estimation is required. In this article, a comparison between physical roughness parameter (PRP) effective coefficient (ERC) presented for three most typical morphological configurations in rivers: cascade, st...

We present an algorithm producing a dynamic non-self-financing hedging strategy in an incomplete market corresponding to investor-relevant risk criterion. The optimization is a twostage process that first determines market calibrated model parameters that correspond to the market price of the option being hedged. In the second stage, an optimal set of model parameters is chosen from the market ...

For shortto medium-length bridges, the governing traffic loading scenario may be congested traffic. This paper presents the calibration of a congested traffic load model using traffic microsimulation. A range of bridge lengths, forms of construction, and load effects is considered. Different driving parameters and traffic composition are also considered. The influence of these parameters on the...

Reference Tomm a s Svoboda and Peter Sturm. A badly calibrated camera in ego-motion estimation, propagation of uncertainty. Abstract. This paper deals with the ego-motion estimation (motion of the camera) from two views. To estimate an ego-motion we have to nd correspondences and we need a calibrated camera. In this paper we solve the problem how to propagate known camera calibration errors int...

Model-based predictions are critically dependent on assumptions and hypotheses that are not based on first principles and that cannot necessarily be justified based on known prevalent physics. Constitutive models, for instance, fall under this category. While these predictive tools are typically calibrated using observational data, little is usually done with the scatter in the thus-calibrated ...

Transfer function techniques are increasingly used for non-invasive estimation of central aortic waveform characteristics. Non-invasive radial waveforms must be calibrated for this purpose. Most validation studies have used invasive pressures for calibration, with little data on the impact of non-invasive calibration on transfer-function-derived aortic waveform characteristics. In the present s...

purposes: the aim of this study was to evaluate the intra and inter-examiner reliability and reproducibility of linear measurements in cone-beam tomography (cbct) images taken by calibrated radiologists and periodontists. materials and methods: the alveolar ridge dimensions in selected cbct images were measured by two calibrated radiologists and two periodontists. intra and inter-examiner relia...